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Statistics Courses

Statistics courses can help you learn data analysis, probability theory, hypothesis testing, and regression techniques. You can build skills in interpreting data sets, making informed predictions, and conducting surveys. Many courses introduce tools like R, Python, and Excel, that support performing statistical analyses and visualizing results. You'll also explore key topics such as descriptive statistics, inferential statistics, and experimental design, equipping you with the knowledge to tackle real-world data challenges.


More to explore:

Popular Statistics Courses and Certifications


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Fundamental Tools of Data Wrangling

    Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Visualization, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Statistical Analysis, Jupyter, Programming Principles, Python Programming, Scripting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Pandas for Data Science

    Skills you'll gain: Pandas (Python Package), Data Cleansing, Data Manipulation, Data Preprocessing, Data Quality, NumPy, File I/O, Data Integration, Python Programming, Data Import/Export, Data Analysis, Exploratory Data Analysis, Debugging

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Data Science for Marketing

    Skills you'll gain: Marketing Analytics, Classification And Regression Tree (CART), Probability & Statistics, AI Personalization, Statistical Software, Statistical Methods, Regression Analysis, Model Evaluation, Data-Driven Decision-Making, Data Ethics, Unsupervised Learning, Statistical Modeling, Data Visualization, Customer Analysis, Statistical Analysis, Predictive Analytics, Anomaly Detection, Advanced Analytics, Bayesian Network, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    E

    Erasmus University Rotterdam

    Necessary Condition Analysis (NCA)

    Skills you'll gain: Analysis, Data Analysis, Statistical Reporting, Analytical Skills, Exploratory Data Analysis, Quantitative Research, Statistical Analysis, Statistical Software, Small Data, R (Software), R Programming, Sampling (Statistics), Technical Communication, Research Methodologies, Scatter Plots, Statistical Hypothesis Testing, Data Collection

    4.9
    Rating, 4.9 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Mastering Data Analysis with Pandas: Learning Path Part 5

    Skills you'll gain: Pandas (Python Package), Data Visualization, Data Manipulation, Data Cleansing, Matplotlib, Text Mining, Exploratory Data Analysis, Data Analysis, Data Preprocessing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    17 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Data Visualization using Plotnine and ggplot

    Skills you'll gain: Exploratory Data Analysis, Box Plots, Plot (Graphics), Data Visualization, Ggplot2, Data Visualization Software, Statistical Visualization, Scatter Plots, Histogram, Graphing, Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    16 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • C

    Coursera

    K-Means Clustering 101: World Happiness Report

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Plotly, Data Visualization, Machine Learning, Social Sciences, Socioeconomics, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    20 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Association Rules Analysis

    Skills you'll gain: Unsupervised Learning, Anomaly Detection, Data Preprocessing, Data Mining, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Data Analysis, Algorithms

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    B

    Board Infinity

    Data Visualization with Tableau

    Skills you'll gain: Data Visualization Software, Dashboard, Data Visualization, Interactive Data Visualization, Data Transformation, Tableau Software, Data Storytelling, Data Manipulation, Exploratory Data Analysis, Heat Maps, Scatter Plots, Data Analysis, Forecasting, Geospatial Mapping

    3.8
    Rating, 3.8 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    C

    Coursera

    Google Analytics for Beginners: Marketing Essentials

    Skills you'll gain: Web Analytics, Google Analytics, Content Performance Analysis, Customer Analysis, E-Commerce, Marketing Analytics, Performance Analysis, Performance Reporting, Marketing Effectiveness

    4.5
    Rating, 4.5 out of 5 stars
    ·
    11 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Plataformas para procesar datos no tradicionales​

    Skills you'll gain: Spatial Analysis, NoSQL, Spatial Data Analysis, Geospatial Mapping, Geographic Information Systems, Public Cloud, Big Data, MongoDB, Data Infrastructure, Apache Hadoop, Apache Spark, Distributed Computing, Data Architecture, Cloud Platforms, Cloud Services, Data Processing, Database Systems, Scalability, Environmental Monitoring, Climate Change Programs

    4.3
    Rating, 4.3 out of 5 stars
    ·
    11 reviews

    Beginner · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular statistics courses

  • Fundamental Tools of Data Wrangling: University of Colorado Boulder
  • Pandas for Data Science: Duke University
  • Data Science for Marketing: University of Colorado System
  • Necessary Condition Analysis (NCA): Erasmus University Rotterdam
  • Mastering Data Analysis with Pandas: Learning Path Part 5: Coursera
  • Data Visualization using Plotnine and ggplot: Coursera
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • K-Means Clustering 101: World Happiness Report: Coursera
  • Association Rules Analysis: University of Colorado Boulder
  • Data Visualization with Tableau: Board Infinity

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